Staff Java ML Engineer Job at Signify Technology (NYC)

Staff Software Engineer, Backend

The Staff Engineer will work closely with AI/ML engineers, product managers, app...

Location

United States , NYC

Salary:

160000.00 - 190000.00 USD / Year

Conductor

Expiration Date

Until further notice

Requirements

Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience
8+ years of experience in software development, with experience in product-driven companies
Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications
Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued
Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques
Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks
Knowledge of MLOps practices, model deployment, and AI system integration in production environments
Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment
Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams
Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks

Job Responsibility

Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth
Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards
Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently
Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks
Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices
Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions
Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery
Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows
Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization

What we offer

100% covered employee medical plan
a dental & vision plans
401(k) with employer contribution
an unlimited vacation policy
10 sick days
short-term disability
long-term disability
generous paid parental leave
employee assistance program
flexible savings accounts

Fulltime

Staff Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Staff Backend Engineer

Kalepa is looking for a Staff Backend Engineer to work on its AI Copilot platfor...

Location

Salary:

145000.00 - 185000.00 USD / Year

Kalepa

Expiration Date

Until further notice

Requirements

8+ years of relevant software engineering experience
Excellent development skills including design, debugging and problem solving
Bachelors or master's degree in computer science or a related field
Experience with Python3 or other OO languages (Java, C++, C#, etc.)
Experience with AWS (EC2, Lambda, etc.) and serverless technologies
Experience with relational databases, preference for PostgreSQL
Experience working on distributed systems creating scalable, fault-tolerant infrastructure
Experience building data driven microservices leveraging RESTful API's
Experience with tools such as Docker, Git, GitHub, Flask, NumPy, Pandas

Job Responsibility

Work on advanced systems including NLP, firmographic data, entity resolution
Solve problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure
Collaborate with a global team of full-stack, data, ML, and DevOps engineers
Build scalable and reliable backend solutions

What we offer

Competitive salary (based on experience level)
Significant equity options package
20 days of PTO a year
Global team offsites
Healthy living/gym stipend
Mobile phone bill stipend
Continuing education credits

Fulltime

New

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff MLOps Engineer

Realize your potential by joining the leading performance-driven advertising com...

Location

Israel , Tel Aviv

Salary:

Not provided

Taboola

Expiration Date

Until further notice

Requirements

Experience developing large scale systems
Experience with filesystems, server architectures, distributed systems, SQL and No-SQL
Highly skilled in software engineering methods
5+ years experience
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills – in Java & Python
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries

Job Responsibility

Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet

What we offer

Comprehensive benefits (health, etc.)
Fully stocked kitchen
Location-specific perks (gym partnerships, parking)
Hybrid work schedule with 3 days in-office

Fulltime

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean is looking for senior engineers who will provide expert-level individual c...

Location

United States , San Francisco Bay Area

Salary:

240000.00 - 300000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

2+ years as a Staff Engineer, Principal Engineer, or equivalent
5+ years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
Proven ability to design, build, and ship production-ready systems
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Job Responsibility

Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
Drive technical strategy and mentor other engineers, raising the technical bar across the team
Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
regular events
healthy lunches daily

Fulltime

Senior Staff Software Engineer

As a Senior Staff Engineer, you will be a technical leader responsible for shapi...

Location

India

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

8–12+ years of professional software engineering experience, with deep expertise in backend and distributed systems
Strong, hands-on experience building large-scale Search or Information Retrieval systems
Deep expertise in search relevance, ranking, and query/catalog understanding
Proven experience designing and operating distributed, low-latency systems at scale
Strong coding skills in Java and/or Python, with a focus on production-quality, maintainable systems
Experience working in cloud environments (AWS or GCP) and modern deployment platforms
Ability to lead technical initiatives across teams and influence without direct authority
Clear, effective communicator able to explain complex technical concepts and tradeoffs

Job Responsibility

Own and evolve core Search architecture, spanning indexing, retrieval, ranking, and query-time execution
Lead design and execution of large, cross-cutting search initiatives across multiple teams and services
Drive technical strategy for search relevance and ranking systems, balancing precision, recall, latency, and cost
Partner with Applied Science and ML teams to productionize ranking models and semantic retrieval techniques
Ensure search systems meet strict latency, availability, and scalability SLAs under real-world traffic
Act as a technical mentor and multiplier, raising the bar through design reviews, code reviews, and technical coaching
Influence roadmap and prioritization by articulating clear technical tradeoffs and long-term platform implications
Serve as a technical escalation point for complex production and architecture decisions

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

Fulltime

New

Staff Machine Learning Engineer

Have you ever ordered a car service on Uber, and when the ride arrives, wondered...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters or PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
7 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with any of the following: Spark, Hive, Kafka, Cassandra
Experience building and productionizing innovative end-to-end Machine Learning systems
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
Experience working with cross-functional teams(product, science, product ops etc)

Job Responsibility

Build statistical, optimization, and machine learning models
Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
Optimize Uber’s background check spend and onboarding funnel
Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
Develop matching algorithms for driver to driver mentorship program
Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff Java ML Engineer

Signify Technology

Location:
United States , NYC

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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